A lot of mining AI pitches sound abstract until you get down to the kind of data that actually drives exploration decisions.



That is why the geochemistry number stood out to me. NovaRed says MetalCore now includes more than 1.4 million geochemical sample records.



To me, that is one of the more meaningful parts of the whole dataset.



Geochemistry is one of the first real filters in exploration. Nobody takes a 16,000-hectare land package and drills it blindly. You narrow it down by stacking different layers of information: geochemistry, geology, magnetics, claims, historical work, access, and whatever old records you can find. Over time, certain areas start looking more interesting than others.



That is where a platform like MetalCore could actually have value. Not because it magically finds a mine, but because it may help speed up the screening process and highlight where follow-up work deserves attention.



That is also why this connects back to Wilmac for me. The project already reflects that style of thinking: soils, rock samples, old drill core, and geophysics all feeding into target selection.



So while the big "AI" label gets attention, the more useful question is whether the platform is being built around the same inputs exploration teams already rely on. 1.4 million geochemical samples makes that story easier to take seriously.

1.4M geochemical samples is the part of MetalCore that matters most to me